journal article·2024-09

A novel fatigue and creep-fatigue life prediction model by combining data-driven approach with domain knowledge

Hang-Hang Gu, Xian-Cheng Zhang, Kun Zhang, Kai-Shang Li, Shan-Tung Tu, Run-Zi Wang

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OpenAlex topics: Fatigue and fracture mechanics · High Temperature Alloys and Creep · Non-Destructive Testing Techniques

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References (65)

Show source-provided references
1. Effects of flexible operation on turbines and generators
2. Monitoring low cycle fatigue damage in turbine blade using vibration characteristics10.1016/j.ymssp.2005.02.011 ↗
3. Solder Creep-Fatigue Analysis by an Energy-Partitioning Approach10.1115/1.2906412 ↗
4. The exponential law of endurance tests
5. The cyclic straining and fatigue of metals
6. Thermal stress and low cycle fatigue10.1115/1.3625225 ↗
7. A new energy-based isothermal and thermo-mechanical fatigue lifetime prediction model for aluminium–silicon–magnesium alloy10.1111/ffe.12078 ↗
8. A generalized hysteresis energy method for fatigue and creep-fatigue life prediction of 316L(N)10.1016/j.msea.2014.11.097 ↗
9. A damage function and associated failure equations for predicting hold time and frequency effects in elevated temperature, low cycle fatigue10.1520/JTE10520J ↗
10. D. Socie, Multiaxial fatigue damage models, (1987).10.1007/978-94-009-3459-7_72 ↗
11. Investigation and modeling of low cycle fatigue behaviors of two Ni-based superalloys under dwell conditions10.1016/j.ijpvp.2009.04.002 ↗
12. R5 procedures for assessing structural integrity of components under creep and creep–fatigue conditions10.1179/174328006X79463 ↗
13. Effect of temperature variation on the long-time rupture strength of steels10.1115/1.4015916 ↗
14. A method of creep damage summation based on accumulated strain for the assessment of creep-fatigue endurance10.1111/j.1460-2695.1983.tb00329.x ↗
15. Systematic Evaluation of Creep-Fatigue Life Prediction Methods for Various Alloys10.1115/1.4024436 ↗
16. A modified strain energy density exhaustion model for creep–fatigue life prediction10.1016/j.ijfatigue.2016.03.005 ↗
17. Creep-fatigue reliability assessment for high-temperature components fusing on-line monitoring data and physics-of-failure by engineering damage mechanics approach10.1016/j.ijfatigue.2022.107481 ↗
18. Machine learning assisted probabilistic creep-fatigue damage assessment10.1016/j.ijfatigue.2021.106677 ↗
19. A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures10.1016/j.ress.2022.108523 ↗
20. Fatigue life prediction considering mean stress effect based on random forests and kernel extreme learning machine10.1016/j.ijfatigue.2022.106761 ↗
21. Fatigue life prediction of bending polymer films using random forest10.1016/j.ijfatigue.2022.107230 ↗
22. C.E. Rasmussen, Gaussian Processes in Machine Learning, in: O. Bousquet, U. von Luxburg, G. Rätsch (Eds.) Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra, Australia, February 2 - 14, 2003, Tübingen, Germany, August 4 - 16, 2003, Revised Lectures, Springer Berlin Heidelberg, Berlin, Heidelberg, 2004, pp. 63-71.
23. Gaussian process regression based remaining fatigue life prediction for metallic materials under two-step loading10.1016/j.ijfatigue.2022.106730 ↗
24. Predicting creep rupture life of Ni-based single crystal superalloys using divide-and-conquer approach based machine learning10.1016/j.actamat.2020.05.001 ↗
25. Deep learning10.1038/nature14539 ↗
26. A deep learning based life prediction method for components under creep, fatigue and creep-fatigue conditions10.1016/j.ijfatigue.2021.106236 ↗
27. Coupling physics in machine learning to predict properties of high-temperatures alloys10.1038/s41524-020-00407-2 ↗
28. A physics-informed neural network for creep-fatigue life prediction of components at elevated temperatures10.1016/j.engfracmech.2021.108130 ↗
29. Symbolic regression in materials science10.1557/mrc.2019.85 ↗
30. Determination of the fatigue equation for the cement-stabilized cold recycled mixtures with road construction waste materials based on data-driven10.1016/j.ijfatigue.2022.106765 ↗
31. Integration of symbolic regression and domain knowledge for interpretable modeling of remaining fatigue life under multistep loading10.1016/j.ijfatigue.2022.106889 ↗
32. Delta phase precipitation in Inconel 71810.1016/j.matchar.2004.07.004 ↗
33. Dissolution kinetics of δ phase and its influence on the notch sensitivity of Inconel 71810.1016/j.matchar.2006.04.020 ↗
34. A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures10.1016/j.ress.2022.108523 ↗
35. Creep-fatigue life prediction and interaction diagram in nickel-based GH4169 superalloy at 650°C based on cycle-by-cycle concept10.1016/j.ijfatigue.2016.11.021 ↗
36. Oxidation-involved life prediction and damage assessment under generalized creep-fatigue loading conditions based on engineering damage mechanics10.1016/j.jmrt.2022.12.094 ↗
37. Creep-fatigue behaviors and life assessments in two nickel-based superalloys10.1115/1.4039779 ↗
38. L. Coffin, Fatigue at high temperature, in: Fatigue at elevated temperatures, ASTM International, 1973.10.1520/STP38828S ↗
39. G. Halford, M. Hirschberg, S. Manson, Creep fatigue analysis by strain-range partitioning, in, 1971.
40. Strain energy partitioning and its application to GH33A Ni-base superalloy and 1Cr18Ni9Ti stainless steel
41. A. Boiler, American Society of Mechanical Engineers, ASME Boiler and Pressure Vessel Committee, Subcommittee on Pressure Vessels. Rules for Construction of Pressure Vessels; An international code VIII, Division 1 VIII, Division 1, American Society of Mechanical Engineers: New York, NY, USA, (2010).
42. D. Afcen, construction rules for mechanical components of FBR nuclear islands, RCC-MR, Appendix A, 16 (2002).
43. Standardization Administration of the People's Republic of China. GB/T 43103-2023 Metallic materials—Methods for creep-fatigue damage assessment and life prediction, 2023.
44. L. Billard, E. Diday, Symbolic regression analysis, in: Classification, clustering, and data analysis: recent advances and applications, Springer, 2002, pp. 281-288.10.1007/978-3-642-56181-8_31 ↗
45. D.A. Augusto, H.J. Barbosa, Symbolic regression via genetic programming, in: Proceedings. Vol. 1. Sixth Brazilian Symposium on Neural Networks, IEEE, 2000, pp. 173-178.
46. High temperature fatigue and creep-fatigue behaviors in a Ni-based superalloy: Damage mechanisms and life assessment10.1016/j.ijfatigue.2018.05.008 ↗
47. A unified rule for high-cycle and low-cycle fatigue life prediction in multi-scale framework
48. Low cycle fatigue life of the alloy IN718 enhanced through surface nanostructuring10.1016/j.matchar.2019.110066 ↗
49. Effect of cold rolling on the Coffin–manson relationship in low-cycle fatigue of superalloy IN71810.1007/s11661-007-9378-0 ↗
50. Effect of heat treatment on Coffin-Manson relationship in LCF of superalloy IN71810.1016/j.msea.2007.08.005 ↗
51. Strain fatigue and tensile behavior of Inconel 718 from room temperature to 650 ℃10.1520/JTE10109J ↗
52. A. Thakker, B. Cowles, Low strain, long life creep fatigue of AF2-1DA and INCO 718, in, 1983.
53. Low cycle fatigue and creep-fatigue interaction behavior of nickel-base superalloy GH4169 at elevated temperature of 650 C10.1016/j.msea.2015.12.096 ↗
54. The creep-fatigue behavior of a nickel-based superalloy: Experiments study and cyclic plastic analysis10.1016/j.ijfatigue.2021.106187 ↗
55. Effects of Heat Treatment on Microstructure and Low Cycle Fatigue Life of GH4169 Alloy, Materials for
56. The Bayesian information criterion: background, derivation, and applications10.1002/wics.199 ↗
57. Study on creep-fatigue evaluation procedures for high-chromium steels—Part I: Test results and life prediction based on measured stress relaxation10.1016/j.ijpvp.2007.11.008 ↗
58. Application of the overstress concept to inelastic behavior and evaluation of creep-fatigue damage for modified 9Cr-1Mo steel10.1016/0308-0161(90)90009-7 ↗
59. A. Tai, Update and Improve Subsection NH –– Alternative Simplified Creep-Fatigue Design Methods, Office of Scientific & Technical Information Technical Reports, (2017).
60. Analysis on stress-strain behavior and life prediction of P92 steel under creep-fatigue interaction conditions10.1111/ffe.13341 ↗
61. Studies on the Low of Fatigue and Creep for 316L Stainless Steel at Elevated Temperature
62. Thermomechanical fatigue, oxidation, and creep: Part II life prediction10.1007/BF02663208 ↗
63. Critical issues in high cycle fatigue10.1016/S0142-1123(99)00074-2 ↗
64. A combined high and low cycle fatigue model for life prediction of turbine blades10.3390/ma10070698 ↗
65. A life prediction method and damage assessment for creep-fatigue combined with high-low cyclic loading10.1016/j.ijfatigue.2022.106923 ↗